Leveraging remote sensing for Public Health
The main objective of disease ecology is to understand the influence of environmental factors and to predict when and where a disease is most likely to occur
decision making, planning of prevention, management and/or response actions, etc.
5 components:
Spatial interactions between these agents in a landscape explain patterns of infection risk and may contribute to disease emergence.
flowchart LR
A[1. animal donors, \n 2. vectors, \n 3. animal recipients,\n 4. the pathogenic agent, \n 5. the influence of factors of \nthe external environments \n] --> B(Spatial interactions between \n these agents in a landscape\n explain patterns of infection \n risk and may contribute \n to disease emergence)
What can we see with remote sensing to contribute to disease ecology?
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| Toyota Corolla | 33.9 | 4 | 71.1 | 65 | 4.22 | 1.835 | 19.90 | 1 | 1 | 4 | 1 |
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| Porsche 914-2 | 26.0 | 4 | 120.3 | 91 | 4.43 | 2.140 | 16.70 | 0 | 1 | 5 | 2 |
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| Volvo 142E | 21.4 | 4 | 121.0 | 109 | 4.11 | 2.780 | 18.60 | 1 | 1 | 4 | 2 |
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